Zobrazeno 1 - 10
of 172
pro vyhledávání: '"Peter J Mucha"'
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0306883 (2024)
Real-world network datasets are typically obtained in ways that fail to capture all edges. The patterns of missing data are often non-uniform as they reflect biases and other shortcomings of different data collection methods. Nevertheless, uniform mi
Externí odkaz:
https://doaj.org/article/9778da2c3d6a494fb6a93814df5ce827
Publikováno v:
PLoS ONE, Vol 14, Iss 4, p e0214453 (2019)
Models of contagion dynamics, originally developed for infectious diseases, have proven relevant to the study of information, news, and political opinions in online social systems. Modelling diffusion processes and predicting viral information cascad
Externí odkaz:
https://doaj.org/article/f8b529ced43747da8cdb263d7da75a1a
Publikováno v:
PLoS ONE, Vol 11, Iss 1, p e0148006 (2016)
Externí odkaz:
https://doaj.org/article/50bdcaa18bb64faaa19fdf02ffb6325e
Autor:
Alex Chen, Scott A McKinley, Feng Shi, Simi Wang, Peter J Mucha, Dimple Harit, M Gregory Forest, Samuel K Lai
Publikováno v:
PLoS ONE, Vol 10, Iss 7, p e0131351 (2015)
Secretory immunoglobulin A (sIgA), a dimeric antibody found in high quantities in the gastrointestinal mucosa, is broadly associated with mucosal immune protection. A distinguishing feature of sIgA is its ability to crosslink pathogens, thereby creat
Externí odkaz:
https://doaj.org/article/c9d34f21d91c46c8aa31f53f7da85e53
Publikováno v:
PLoS ONE, Vol 10, Iss 12, p e0145296 (2015)
This paper explores bias in the estimation of sampling variance in Respondent Driven Sampling (RDS). Prior methodological work on RDS has focused on its problematic assumptions and the biases and inefficiencies of its estimators of the population mea
Externí odkaz:
https://doaj.org/article/b72ab13429c3446ba052d103039cf38f
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 3, p e1003491 (2014)
Large-scale white matter pathways crisscrossing the cortex create a complex pattern of connectivity that underlies human cognitive function. Generative mechanisms for this architecture have been difficult to identify in part because little is known i
Externí odkaz:
https://doaj.org/article/407c1ebd69964eff8927faf41de06ff1
Autor:
Scott A McKinley, Alex Chen, Feng Shi, Simi Wang, Peter J Mucha, M Gregory Forest, Samuel K Lai
Publikováno v:
PLoS ONE, Vol 9, Iss 6, p e100598 (2014)
Eliciting broadly neutralizing antibodies (bnAb) in cervicovaginal mucus (CVM) represents a promising "first line of defense" strategy to reduce vaginal HIV transmission. However, it remains unclear what levels of bnAb must be present in CVM to effec
Externí odkaz:
https://doaj.org/article/334bb602899c4bd484c7f215d456b7ab
Autor:
Danielle S Bassett, Nicholas F Wymbs, M Puck Rombach, Mason A Porter, Peter J Mucha, Scott T Grafton
Publikováno v:
PLoS Computational Biology, Vol 9, Iss 9, p e1003171 (2013)
As a person learns a new skill, distinct synapses, brain regions, and circuits are engaged and change over time. In this paper, we develop methods to examine patterns of correlated activity across a large set of brain regions. Our goal is to identify
Externí odkaz:
https://doaj.org/article/9d2226d25df84d7ca963e2b76d6511da
Publikováno v:
Applied Network Science, Vol 4, Iss 1, Pp 1-22 (2019)
Abstract The stochastic block model (SBM) is a probabilistic model for community structure in networks. Typically, only the adjacency matrix is used to perform SBM parameter inference. In this paper, we consider circumstances in which nodes have an a
Externí odkaz:
https://doaj.org/article/a5f25e0905c14b29ae0a3983c7e61689
Autor:
Amanda L. McGowan, Farah Sayed, Zachary M. Boyd, Mia Jovanova, Yoona Kang, Megan E. Speer, Danielle Cosme, Peter J. Mucha, Kevin N. Ochsner, Dani S. Bassett, Emily B. Falk, David M. Lydon-Staley
Publikováno v:
Biological Psychiatry. 93:681-689
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02b63c6a593daffe74c52fd742e14a4a
https://doi.org/10.1016/j.biopsych.2022.12.012
https://doi.org/10.1016/j.biopsych.2022.12.012